Vertaile menetelmiä

	Kognitiiviset diagnoosimallit (DINA / G-DINA)	Rasch-malli
Tieteenala	Psykometriikka	Psykometriikka
Menetelmäperhe	Latent structure	Latent structure
Syntyvuosi	2011	1960
Kehittäjä	Jimmy de la Torre	Georg Rasch
Tyyppi	Latent variable diagnostic classification model	Item Response Theory / Latent trait model
Alkuperäislähde	de la Torre, J. (2011). The generalized DINA model framework. Psychometrika, 76(2), 179–199.	Rasch, G. (1960). Probabilistic Models for Some Intelligence and Attainment Tests. Danish Institute for Educational Research, Copenhagen.
Rinnakkaisnimet	Diagnostic Classification Model, Skills Assessment Model, Attribute Mastery Model, Bilişsel Tanı Modeli	1PL IRT, one-parameter logistic model, Rasch Modeli — 1PL IRT, 1PL model
Liittyvät	2	6
Tiivistelmä	Cognitive Diagnosis Models (CDMs) are a family of latent variable models designed to classify examinees according to their mastery of a set of discrete cognitive attributes or skills. The Generalized DINA (G-DINA) framework, introduced by Jimmy de la Torre in 2011, provides a unifying structure that encompasses many specific CDMs — including the DINA, DINO, ACDM, and LLM models — as special cases, enabling fine-grained diagnostic feedback beyond a single total score.	The Rasch model, introduced by Georg Rasch in 1960, is the simplest member of the Item Response Theory (IRT) family. It assigns a single difficulty parameter to each test item and places both item difficulties and person abilities on the same logit scale, enabling direct, sample-independent comparison of items and persons.